
As Gen‑AI reshapes the graduate employment landscape, business schools face a unique moment of reinvention. This workshop takes a forward‑looking approach to redefining what makes a business school degree valuable today.
Together, we’ll explore inspiring case studies and engage in lively discussions on how to balance our core mission of knowledge creation with the need for flexible, inclusive, and career‑relevant learning experiences. Our aim is to position our programs in a way that highlights their role in driving positive impact, cultivating a lifelong love of learning, and fostering genuine financial and social mobility for our students.
I will discuss how Trinity Business School redesigned its Executive MBA to create a more flexible, accessible, and inclusive learning experience for working professionals. The session will explore the practical challenges and strategic decisions involved in developing a flexible MBA model, including curriculum redesign, faculty engagement, technology adoption, and building a strong learning community. Drawing on this experience, I will share key lessons and a practical framework for business schools seeking to expand access and inclusion through flexible MBA delivery.
In a landscape where AI fluency has transitioned from a differentiator to a baseline requirement, this talk will explore how the post-graduate MBA value proposition is being fundamentally redefined. Rather than replacing the MBA programmes AI is elevating the "human premium" by automating routine analytical execution and shifting the MBA’s role toward high-order problem framing, ethical governance, and cross-functional synthesis. Hiring trends would suggest a predominance of “invisible hiring” and that employers now prioritize candidates who can demonstrate "agentic AI" leadership—the ability to manage autonomous workflows—while simultaneously filling the growing gap in "soft" leadership coaching that technology cannot replicate. This shift necessitates a move away from focusing on static knowledge outputs toward "authentic assessment" models that validate a student’s integrated judgment and their ability to ethically bridge the gap between technical AI potential and strategic business outcomes.
